What the work involves
You are the senior reviewer an AI model does not have. A typical task hands you a scenario an IT manager would actually face — consolidating three acquired companies' Active Directory forests, evaluating an MSP contract with vague SLA language, scoping ISO 27001 readiness on a two-quarter timeline — alongside a model's proposed answer. Your job is to judge whether the answer would survive contact with a real budget, a real audit, and a real team, then write down exactly where it fails and what a competent manager would have said instead.
Other days the work is generative: producing reference answers, drafting realistic runbooks or vendor evaluation matrices, or critiquing documentation for gaps a junior would trip over. Expect written assignments as the main deliverable, with occasional structured discussions or recorded calls. There is no ticket queue and no on-call.
What the platform screens for
micro1's screen is AI-led and leans hard on follow-up questions. It is looking for managers who can name the systems, frameworks, and vendors they worked with, cite figures — headcount, budget, node counts, audit findings — and explain why a decision went the way it did. Generic best-practice recitation reads as thin very quickly, because the follow-up will ask which control failed and what you did about it. It also screens for whether you can articulate a critique in writing: a flat "this is wrong" earns nothing; a diagnosis plus a defensible correction is the actual product.
No AI or machine-learning background is expected or advantaged. Depth in enterprise IT management is the entire qualification.
Logistics
- Fully remote, contractor engagement, invoiced hourly
- Asynchronous — you pick up assignments in batches; most contributors work 10–20 hrs/week alongside a day job
- Pay observed at $60–75/hr, set by task complexity and screening outcome; not guaranteed
- Volume varies with the customer project's phase; treat it as supplementary, not a salary replacement